Triple
T2801536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk, England |
E53163
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Debenham
Debenham is a historic village and civil parish in the Mid Suffolk district of Suffolk, England, known for its traditional architecture and rural character.
|
E299719
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Debenham | Statement: [Suffolk, England, containsSettlement, Debenham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debenham Context triple: [Suffolk, England, containsSettlement, Debenham]
-
A.
Downham
Downham is a picturesque rural village in Lancashire, England, known for its unspoiled traditional character and scenic setting near Pendle Hill.
-
B.
Denham
Denham is a village in Buckinghamshire, England, known for its historic charm, green spaces, and proximity to both the countryside and Greater London.
-
C.
Thetford
Thetford is a historic market town in eastern England known for its ancient earthworks, links to Thomas Paine, and surrounding Breckland forest.
-
D.
Harpenden
Harpenden is a commuter town in southern England known for its green spaces and affluent residential character.
-
E.
Kidderminster
Kidderminster is a historic market and industrial town in Worcestershire, England, traditionally known for its carpet manufacturing.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Debenham Triple: [Suffolk, England, containsSettlement, Debenham]
Generated description
Debenham is a historic village and civil parish in the Mid Suffolk district of Suffolk, England, known for its traditional architecture and rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Debenham Target entity description: Debenham is a historic village and civil parish in the Mid Suffolk district of Suffolk, England, known for its traditional architecture and rural character.
-
A.
Downham
Downham is a picturesque rural village in Lancashire, England, known for its unspoiled traditional character and scenic setting near Pendle Hill.
-
B.
Denham
Denham is a village in Buckinghamshire, England, known for its historic charm, green spaces, and proximity to both the countryside and Greater London.
-
C.
Thetford
Thetford is a historic market town in eastern England known for its ancient earthworks, links to Thomas Paine, and surrounding Breckland forest.
-
D.
Harpenden
Harpenden is a commuter town in southern England known for its green spaces and affluent residential character.
-
E.
Kidderminster
Kidderminster is a historic market and industrial town in Worcestershire, England, traditionally known for its carpet manufacturing.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abde1117148190b0c98f906f1c872e |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc66d1e488190a4b85decfb38097f |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc8b12b848190ad514eed2d26a90f |
completed | March 10, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc9413e1881908fc091b98913e1cf |
completed | March 10, 2026, 7:33 a.m. |
Created at: March 6, 2026, 9:58 p.m.